Overview

Dataset statistics

Number of variables10
Number of observations4989
Missing cells0
Missing cells (%)0.0%
Total size in memory428.7 KiB
Average record size in memory88.0 B

Variable types

Numeric10

Alerts

carat is highly overall correlated with price and 3 other fieldsHigh correlation
price is highly overall correlated with carat and 3 other fieldsHigh correlation
x is highly overall correlated with carat and 3 other fieldsHigh correlation
y is highly overall correlated with carat and 3 other fieldsHigh correlation
z is highly overall correlated with carat and 3 other fieldsHigh correlation
cut has 158 (3.2%) zerosZeros
color has 248 (5.0%) zerosZeros
clarity has 64 (1.3%) zerosZeros

Reproduction

Analysis started2024-04-25 01:47:24.975967
Analysis finished2024-04-25 01:47:32.543257
Duration7.57 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

carat
Real number (ℝ)

HIGH CORRELATION 

Distinct202
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79411706
Minimum0.23
Maximum4.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:32.595408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.3
Q10.4
median0.7
Q31.04
95-th percentile1.67
Maximum4.13
Range3.9
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.46798101
Coefficient of variation (CV)0.58930985
Kurtosis1.1571249
Mean0.79411706
Median Absolute Deviation (MAD)0.32
Skewness1.0760861
Sum3961.85
Variance0.21900622
MonotonicityNot monotonic
2024-04-24T22:47:32.695204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 249
 
5.0%
1.01 228
 
4.6%
0.31 207
 
4.1%
0.32 192
 
3.8%
0.7 167
 
3.3%
0.9 143
 
2.9%
1 142
 
2.8%
0.41 124
 
2.5%
0.4 121
 
2.4%
0.5 117
 
2.3%
Other values (192) 3299
66.1%
ValueCountFrequency (%)
0.23 37
 
0.7%
0.24 12
 
0.2%
0.25 17
 
0.3%
0.26 30
 
0.6%
0.27 24
 
0.5%
0.28 14
 
0.3%
0.29 12
 
0.2%
0.3 249
5.0%
0.31 207
4.1%
0.32 192
3.8%
ValueCountFrequency (%)
4.13 1
< 0.1%
3.01 2
< 0.1%
2.53 1
< 0.1%
2.52 2
< 0.1%
2.51 1
< 0.1%
2.5 2
< 0.1%
2.48 1
< 0.1%
2.47 1
< 0.1%
2.44 1
< 0.1%
2.42 2
< 0.1%

cut
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7610744
Minimum0
Maximum4
Zeros158
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:32.776407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0355742
Coefficient of variation (CV)0.37506205
Kurtosis-0.037420432
Mean2.7610744
Median Absolute Deviation (MAD)1
Skewness-0.68946759
Sum13775
Variance1.0724139
MonotonicityNot monotonic
2024-04-24T22:47:32.850653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1987
39.8%
4 1291
25.9%
2 1097
22.0%
1 456
 
9.1%
0 158
 
3.2%
ValueCountFrequency (%)
0 158
 
3.2%
1 456
 
9.1%
2 1097
22.0%
3 1987
39.8%
4 1291
25.9%
ValueCountFrequency (%)
4 1291
25.9%
3 1987
39.8%
2 1097
22.0%
1 456
 
9.1%
0 158
 
3.2%

color
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3924634
Minimum0
Maximum6
Zeros248
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:32.925483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6912647
Coefficient of variation (CV)0.49853586
Kurtosis-0.86799405
Mean3.3924634
Median Absolute Deviation (MAD)1
Skewness-0.17106034
Sum16925
Variance2.8603762
MonotonicityNot monotonic
2024-04-24T22:47:32.996206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1095
21.9%
5 917
18.4%
4 843
16.9%
2 762
15.3%
6 607
12.2%
1 517
10.4%
0 248
 
5.0%
ValueCountFrequency (%)
0 248
 
5.0%
1 517
10.4%
2 762
15.3%
3 1095
21.9%
4 843
16.9%
5 917
18.4%
6 607
12.2%
ValueCountFrequency (%)
6 607
12.2%
5 917
18.4%
4 843
16.9%
3 1095
21.9%
2 762
15.3%
1 517
10.4%
0 248
 
5.0%

clarity
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0591301
Minimum0
Maximum7
Zeros64
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:33.067519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6319016
Coefficient of variation (CV)0.53345282
Kurtosis-0.41339557
Mean3.0591301
Median Absolute Deviation (MAD)1
Skewness0.52645335
Sum15262
Variance2.6631028
MonotonicityNot monotonic
2024-04-24T22:47:33.141192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 1191
23.9%
3 1131
22.7%
1 843
16.9%
4 801
16.1%
5 464
 
9.3%
6 345
 
6.9%
7 150
 
3.0%
0 64
 
1.3%
ValueCountFrequency (%)
0 64
 
1.3%
1 843
16.9%
2 1191
23.9%
3 1131
22.7%
4 801
16.1%
5 464
 
9.3%
6 345
 
6.9%
7 150
 
3.0%
ValueCountFrequency (%)
7 150
 
3.0%
6 345
 
6.9%
5 464
 
9.3%
4 801
16.1%
3 1131
22.7%
2 1191
23.9%
1 843
16.9%
0 64
 
1.3%

depth
Real number (ℝ)

Distinct121
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.710844
Minimum44
Maximum70.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:33.235509image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile59.2
Q161
median61.8
Q362.5
95-th percentile63.8
Maximum70.2
Range26.2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.4455628
Coefficient of variation (CV)0.023424778
Kurtosis7.1140363
Mean61.710844
Median Absolute Deviation (MAD)0.7
Skewness-0.44943877
Sum307875.4
Variance2.0896518
MonotonicityNot monotonic
2024-04-24T22:47:33.335346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 225
 
4.5%
61.6 203
 
4.1%
62.1 193
 
3.9%
62.2 191
 
3.8%
61.9 186
 
3.7%
62.3 182
 
3.6%
61.8 178
 
3.6%
61.5 177
 
3.5%
61.7 169
 
3.4%
61.3 147
 
2.9%
Other values (111) 3138
62.9%
ValueCountFrequency (%)
44 1
 
< 0.1%
53 1
 
< 0.1%
55.3 1
 
< 0.1%
55.8 2
< 0.1%
55.9 1
 
< 0.1%
56.3 3
0.1%
56.5 2
< 0.1%
56.6 1
 
< 0.1%
56.7 3
0.1%
56.8 3
0.1%
ValueCountFrequency (%)
70.2 1
< 0.1%
69.8 2
< 0.1%
69.6 1
< 0.1%
68.6 1
< 0.1%
68.5 1
< 0.1%
68.1 1
< 0.1%
67.9 1
< 0.1%
67.8 1
< 0.1%
67.6 2
< 0.1%
67.5 1
< 0.1%

table
Real number (ℝ)

Distinct78
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.446242
Minimum51.6
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:33.434844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51.6
5-th percentile54
Q156
median57
Q359
95-th percentile61
Maximum95
Range43.4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2597522
Coefficient of variation (CV)0.039336815
Kurtosis15.525537
Mean57.446242
Median Absolute Deviation (MAD)1
Skewness1.4787667
Sum286599.3
Variance5.10648
MonotonicityNot monotonic
2024-04-24T22:47:33.530795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 918
18.4%
57 888
17.8%
58 765
15.3%
59 640
12.8%
55 584
11.7%
60 361
 
7.2%
54 236
 
4.7%
61 209
 
4.2%
62 121
 
2.4%
63 59
 
1.2%
Other values (68) 208
 
4.2%
ValueCountFrequency (%)
51.6 1
 
< 0.1%
52 6
 
0.1%
53 50
1.0%
53.1 1
 
< 0.1%
53.3 1
 
< 0.1%
53.4 1
 
< 0.1%
53.5 2
 
< 0.1%
53.6 1
 
< 0.1%
53.7 2
 
< 0.1%
53.8 5
 
0.1%
ValueCountFrequency (%)
95 1
 
< 0.1%
70 1
 
< 0.1%
68 1
 
< 0.1%
67 1
 
< 0.1%
66 7
 
0.1%
65.4 1
 
< 0.1%
65 8
 
0.2%
64.2 1
 
< 0.1%
64 26
0.5%
63 59
1.2%

price
Real number (ℝ)

HIGH CORRELATION 

Distinct3177
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3930.5819
Minimum351
Maximum18787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:33.622269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum351
5-th percentile544
Q1942
median2398
Q35376
95-th percentile12925.8
Maximum18787
Range18436
Interquartile range (IQR)4434

Descriptive statistics

Standard deviation3970.9233
Coefficient of variation (CV)1.0102635
Kurtosis2.079043
Mean3930.5819
Median Absolute Deviation (MAD)1689
Skewness1.5874644
Sum19609673
Variance15768232
MonotonicityNot monotonic
2024-04-24T22:47:33.722131image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
776 15
 
0.3%
765 15
 
0.3%
605 15
 
0.3%
561 14
 
0.3%
698 14
 
0.3%
625 13
 
0.3%
526 13
 
0.3%
544 13
 
0.3%
552 12
 
0.2%
878 11
 
0.2%
Other values (3167) 4854
97.3%
ValueCountFrequency (%)
351 2
< 0.1%
357 2
< 0.1%
361 1
< 0.1%
362 1
< 0.1%
363 1
< 0.1%
367 1
< 0.1%
373 1
< 0.1%
377 1
< 0.1%
383 1
< 0.1%
384 2
< 0.1%
ValueCountFrequency (%)
18787 1
< 0.1%
18777 1
< 0.1%
18741 1
< 0.1%
18705 1
< 0.1%
18656 1
< 0.1%
18541 1
< 0.1%
18515 1
< 0.1%
18493 1
< 0.1%
18445 1
< 0.1%
18430 1
< 0.1%

x
Real number (ℝ)

HIGH CORRELATION 

Distinct473
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7262317
Minimum3.86
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:33.821954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.86
5-th percentile4.29
Q14.7
median5.69
Q36.54
95-th percentile7.616
Maximum10
Range6.14
Interquartile range (IQR)1.84

Descriptive statistics

Standard deviation1.1162571
Coefficient of variation (CV)0.19493747
Kurtosis-0.74825981
Mean5.7262317
Median Absolute Deviation (MAD)0.92
Skewness0.37771921
Sum28568.17
Variance1.24603
MonotonicityNot monotonic
2024-04-24T22:47:33.920171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.37 50
 
1.0%
4.38 49
 
1.0%
4.34 46
 
0.9%
4.35 45
 
0.9%
4.32 44
 
0.9%
4.31 40
 
0.8%
4.4 37
 
0.7%
4.29 35
 
0.7%
6.43 34
 
0.7%
4.39 34
 
0.7%
Other values (463) 4575
91.7%
ValueCountFrequency (%)
3.86 2
 
< 0.1%
3.88 2
 
< 0.1%
3.89 1
 
< 0.1%
3.9 2
 
< 0.1%
3.91 2
 
< 0.1%
3.92 4
0.1%
3.93 4
0.1%
3.94 6
0.1%
3.95 3
0.1%
3.96 4
0.1%
ValueCountFrequency (%)
10 1
< 0.1%
9.44 1
< 0.1%
9.24 1
< 0.1%
8.89 1
< 0.1%
8.87 1
< 0.1%
8.83 1
< 0.1%
8.8 1
< 0.1%
8.72 1
< 0.1%
8.68 1
< 0.1%
8.64 1
< 0.1%

y
Real number (ℝ)

HIGH CORRELATION 

Distinct470
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7288214
Minimum3.84
Maximum9.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:34.017104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.84
5-th percentile4.29
Q14.71
median5.7
Q36.54
95-th percentile7.586
Maximum9.85
Range6.01
Interquartile range (IQR)1.83

Descriptive statistics

Standard deviation1.1091668
Coefficient of variation (CV)0.19361169
Kurtosis-0.76715725
Mean5.7288214
Median Absolute Deviation (MAD)0.92
Skewness0.36905777
Sum28581.09
Variance1.2302509
MonotonicityNot monotonic
2024-04-24T22:47:34.330711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.34 52
 
1.0%
4.39 42
 
0.8%
4.35 39
 
0.8%
4.37 39
 
0.8%
4.41 39
 
0.8%
4.32 39
 
0.8%
4.38 37
 
0.7%
4.33 36
 
0.7%
4.29 35
 
0.7%
4.4 35
 
0.7%
Other values (460) 4596
92.1%
ValueCountFrequency (%)
3.84 1
 
< 0.1%
3.89 2
 
< 0.1%
3.9 2
 
< 0.1%
3.92 1
 
< 0.1%
3.93 1
 
< 0.1%
3.94 2
 
< 0.1%
3.95 6
0.1%
3.96 5
0.1%
3.97 4
0.1%
3.98 3
0.1%
ValueCountFrequency (%)
9.85 1
< 0.1%
9.37 1
< 0.1%
9.13 1
< 0.1%
8.93 1
< 0.1%
8.87 1
< 0.1%
8.83 1
< 0.1%
8.78 1
< 0.1%
8.66 1
< 0.1%
8.65 1
< 0.1%
8.62 1
< 0.1%

z
Real number (ℝ)

HIGH CORRELATION 

Distinct303
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5336781
Minimum1.41
Maximum6.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.0 KiB
2024-04-24T22:47:34.428662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.41
5-th percentile2.65
Q12.9
median3.53
Q34.03
95-th percentile4.68
Maximum6.43
Range5.02
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation0.68843703
Coefficient of variation (CV)0.19482166
Kurtosis-0.71092728
Mean3.5336781
Median Absolute Deviation (MAD)0.57
Skewness0.37583713
Sum17629.52
Variance0.47394555
MonotonicityNot monotonic
2024-04-24T22:47:34.524695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.69 77
 
1.5%
2.73 72
 
1.4%
2.72 71
 
1.4%
2.71 66
 
1.3%
2.7 66
 
1.3%
2.68 64
 
1.3%
2.67 59
 
1.2%
2.74 58
 
1.2%
4.02 56
 
1.1%
3.99 55
 
1.1%
Other values (293) 4345
87.1%
ValueCountFrequency (%)
1.41 1
 
< 0.1%
2.35 1
 
< 0.1%
2.37 1
 
< 0.1%
2.38 1
 
< 0.1%
2.39 2
 
< 0.1%
2.4 2
 
< 0.1%
2.41 1
 
< 0.1%
2.42 4
 
0.1%
2.43 6
0.1%
2.44 10
0.2%
ValueCountFrequency (%)
6.43 1
< 0.1%
6.16 1
< 0.1%
5.73 1
< 0.1%
5.62 1
< 0.1%
5.6 1
< 0.1%
5.53 1
< 0.1%
5.43 1
< 0.1%
5.42 1
< 0.1%
5.41 1
< 0.1%
5.39 1
< 0.1%

Interactions

2024-04-24T22:47:31.916515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.185011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.106834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.011117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.691482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.387866image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.047671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.690418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.585031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.251743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.982091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.305143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.181487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.088369image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.770374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.455699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.116189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.763756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.655785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.321744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.051945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.426484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.458420image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.166312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.845574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.528185image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.185173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.837454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.729117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.395746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.113240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.524683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.528258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.232902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.914960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.592945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.249192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.906765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.794520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.462273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.178892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.623709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.600758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.299995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.984803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.661348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.316682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.978354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.864039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.529911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.240729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.709002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.669524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.364535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.050904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.725098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.378238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.045631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.928337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.595406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.301119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.793000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.735672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.426887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.117868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.785317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.438238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.109766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.989076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.656297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.367136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.881177image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.808335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.496340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.188047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.854879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.504125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.180956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.060270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.727129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.431236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:25.960984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.877230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.563068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.256029image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.920560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.568151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.249414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.125168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.791251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:32.493588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.037666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:26.948030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:27.629246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.323164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:28.987561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:29.631249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:30.522146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.191602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-24T22:47:31.856909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-04-24T22:47:34.590811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
caratclaritycolorcutdepthpricetablexyz
carat1.000-0.346-0.2430.020-0.0040.9620.2050.9970.9960.994
clarity-0.3461.000-0.0420.042-0.070-0.180-0.147-0.342-0.337-0.348
color-0.243-0.0421.000-0.032-0.025-0.142-0.035-0.239-0.239-0.244
cut0.0200.042-0.0321.000-0.2880.0390.0730.0410.024-0.006
depth-0.004-0.070-0.025-0.2881.000-0.020-0.264-0.058-0.0590.072
price0.962-0.180-0.1420.039-0.0201.0000.1830.9630.9620.957
table0.205-0.147-0.0350.073-0.2640.1831.0000.2140.2060.170
x0.997-0.342-0.2390.041-0.0580.9630.2141.0000.9980.988
y0.996-0.337-0.2390.024-0.0590.9620.2060.9981.0000.987
z0.994-0.348-0.244-0.0060.0720.9570.1700.9880.9871.000